Intelligent mapping for an enterprise grid

ABSTRACT

A computer receives a request from a client application for data within an enterprise grid. The computer sends the data along with a program to monitor the application&#39;s use of the data. The computer subsequently receives from the program a subset of the data being utilized by the client application. Responsive to a subsequent request for the data, the computer sends to the client application only the data corresponding to the identified subset of data being utilized.

FIELD OF THE INVENTION

The present invention relates generally to the field of grid computingand more particularly to efficiently allowing clients to access datafrom an enterprise grid.

BACKGROUND OF THE INVENTION

“Grid computing” refers to the concept that applications and resourcescan be connected in the form of a pervasive network fabric or grid, withgrids being viewed as very much analogous to electrical or powergrids—accessible everywhere and sharable by everyone. In the generalsense, a grid may be defined as a bounded environment (i.e., acollection of networked applications, services, resources, which istreated as a whole and within which grid computing is undertaken). Thescope of a grid could range from a small departmental network to a vastcollection of resources and services running in multiple locations,spread across the world, and owned by many organizational groups,government bodies, enterprises, or academic institutions.

When exploring the impact of grids within enterprise data centers, theterm “enterprise grid” can be used to capture the notion of a grid thatis managed by a single entity or business. This is a very specific typeof grid, in which there is a clear scope of control and responsibilityfor managing the grid to meet a specific set of business goals. Theextent of an enterprise grid is defined in terms of organizationalresponsibility and not in terms of geography or asset ownership. Thus,an enterprise grid may span multiple locations or data centers. It mayalso include applications or services run on behalf of otherorganizations, such as in an outsourced environment. Enterprise gridsmust also support various types of workload (transactional, OLTP, batch,compute-intensive, and legacy) and a large, heterogeneous set ofresources. This contrasts markedly with more traditional aggregationframeworks in the data center, such as high-availability clusters,load-balanced clusters, or compute-intensive clusters, which aretypically focused on a specific application, or type of application, andwhich are usually deployed on a relatively homogeneous set of resources.

SUMMARY

Embodiments of the present invention include a method, computer programproduct, and system for accessing data from an enterprise grid. A firstcomputer system receives a request from a client application of a secondcomputer system to access a dataset within an enterprise grid, thedataset having a plurality of values that each correspond to a separatefield of the dataset. The first computer system determines that aprevious request to access the dataset has not been received from theclient application of the second computer system and, in response,gathers the plurality of values from within the enterprise grid andsends the plurality of values to the second computer system. The firstcomputer system identifies a subset of the plurality of values utilizedby the client application and the field for each value in the subset ofthe plurality of values utilized by the client application. The firstcomputer system receives a subsequent request from the clientapplication of the second computer system for the dataset. In responseto receiving the subsequent request, the first computer system sends tothe second computer system, of the plurality of values in the dataset,only values corresponding to each identified field.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 is a functional block diagram illustrating a distributed dataprocessing environment, in accordance with an embodiment of the presentinvention.

FIG. 2 is a flowchart depicting operational steps of an intelligentmapping program, on a proxy server computer within the data processingenvironment of FIG. 1, for filtering values returned to a clientapplication, in accordance with an embodiment of the present invention.

FIG. 3 illustrates operational steps of a watcher program, inserted on aclient device within the data processing environment of FIG. 1, inaccordance with an embodiment of the present invention.

FIG. 4 depicts a block diagram of components of the proxy servercomputer executing the intelligent mapping program, in accordance withan embodiment of the present invention.

DETAILED DESCRIPTION

As will be appreciated by one skilled in the art, aspects of the presentinvention may be embodied as a system, method or computer programproduct. Accordingly, aspects of the present invention may take the formof an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present invention may take the form of acomputer program product embodied in one or more computer-readablemedium(s) having computer readable program code/instructions embodiedthereon.

Any combination of computer-readable media may be utilized.Computer-readable media may be a computer-readable signal medium or acomputer-readable storage medium. A computer-readable storage medium maybe, for example, but not limited to, an electronic, magnetic, optical,electromagnetic, infrared, or semiconductor system, apparatus, ordevice, or any suitable combination of the foregoing. More specificexamples (a non-exhaustive list) of a computer-readable storage mediumwould include the following: an electrical connection having one or morewires, a portable computer diskette, a hard disk, a random access memory(RAM), a read-only memory (ROM), an erasable programmable read-onlymemory (EPROM or Flash memory), an optical fiber, a portable compactdisc read-only memory (CD-ROM), an optical storage device, a magneticstorage device, or any suitable combination of the foregoing. In thecontext of this document, a computer-readable storage medium may be anytangible medium that can contain, or store a program for use by or inconnection with an instruction execution system, apparatus, or device.

A computer-readable signal medium may include a propagated data signalwith computer-readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including, but not limited to,electro-magnetic, optical, or any suitable combination thereof. Acomputer-readable signal medium may be any computer-readable medium thatis not a computer-readable storage medium and that can communicate,propagate, or transport a program for use by or in connection with aninstruction execution system, apparatus, or device.

Program code embodied on a computer-readable medium may be transmittedusing any appropriate medium, including but not limited to wireless,wireline, optical fiber cable, RF, etc., or any suitable combination ofthe foregoing.

Computer program code for carrying out operations for aspects of thepresent invention may be written in any combination of one or moreprogramming languages, including an object-oriented programming languagesuch as Java®, Smalltalk, C++ or the like and conventional proceduralprogramming languages, such as the “C” programming language or similarprogramming languages. The program code may execute entirely on a user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).

Aspects of the present invention are described below with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems) and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer program instructions. These computer program instructions maybe provided to a processor of a general purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions, which execute via theprocessor of the computer or other programmable data processingapparatus, create means for implementing the functions/acts specified inthe flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in acomputer-readable medium that can direct a computer, other programmabledata processing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer-readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or blockdiagram block or blocks.

The computer program instructions may also be loaded onto a computer,other programmable data processing apparatus, or other devices to causea series of operational steps to be performed on the computer, otherprogrammable apparatus or other devices to produce acomputer-implemented process such that the instructions which execute onthe computer or other programmable apparatus provide processes forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

The present invention will now be described in detail with reference tothe Figures. FIG. 1 is a functional block diagram illustrating adistributed data processing environment, generally designated 100, inaccordance with one embodiment of the present invention. Distributeddata processing environment 100 includes proxy server computer 102 andclient devices 104, 106, and 108, all interconnected over network 110.Proxy server computer 102 communicates with, and may be considered apart of, enterprise grid 112.

Enterprise grid 112 is a collection of resources including computingsystems and components, which are interconnected through variousconnections and protocols and are at least nominally controlled by asingle group or entity. The location of individual resources ofenterprise grid 112 may be geographically diverse. Enterprise grid 112may be utilized as a data grid, such as an in-memory data grid (IMDG),by enabling the storing of information in memory, and usingredundancy—by keeping copies of that information synchronized acrossmultiple servers—in order to ensure the resiliency of the system and theavailability of the data in the event of a server failure. An IMDGprovides a set of interconnected processes (typically Java®) that holddata in memory over multiple resources, enabling faster data access andreducing stress on the back-end (physical) databases. Data may beaccessed in enterprise grid 112 through a key-value associative array ordata structure where identifying values (keys) are mapped to associatedvalues (e.g., using a hash table or hash map).

In the depicted environment, proxy server computer 102 acts as a conduitbetween enterprise grid 112 and client computers, such as client devices104, 106, and 108. Proxy server computer 102 may receive queries fromclient computers, locate the required information from resources inenterprise grid 112 (for example, by computing a hash of a received keyto determine the appropriate server), and sends values associated withthe query back to the client computer. In various embodiments of thepresent invention, proxy server computer 102 can be a laptop computer,tablet computer, netbook computer, personal computer (PC), a desktopcomputer, a personal digital assistant (PDA), a smart phone, or anyprogrammable electronic device capable of communicating with clientdevices 104, 106, and 108 via network 110 and with various componentsand devices within enterprise grid 112. Proxy server computer 102includes intelligent mapping program 114 for filtering data to bereturned to a requesting client application from enterprise grid 112.Proxy server computer 102 can store mapping tables and filteringpreferences in computer storage 116.

Embodiments of the present invention recognize that due to differentdata requirements, data structures, and data object requirements ofindividual applications (developed and owned by different teams andunits), accessing data from an enterprise grid is most commonlyperformed at a rudimentary level. That is, accessing via a strictdatabase structure with universal fields is impractical due to the sizeof the enterprise grid and the diversity of client applicationsaccessing the grid. Consequently, unlike accessing data via a databasequery, such as “select <data> from <location> where <conditions aretrue>”, a rudimentary enterprise grid data access typically returnsvalues without any way to limit them to a desired subset. For example, aclient gives a key value to proxy server computer 102 and proxy servercomputer 102 returns all values associated with the key.

Still more specifically, consider an instance in which a clientapplication requires a user's address. The application may only havelocal access to the mapping key, in this instance, the user's name. Theapplication may query enterprise grid 112 using the user's name, and inreturn may receive all associated data including address, age, socialsecurity number, etc.

According to embodiments of the present invention, data is moreselectively provided responsive to a client request. In one aspect,intelligent mapping program 114 registers the request and the requestingapplication, and monitors the client application's use of receivedvalues. Based on the client application's use, during subsequentrequests for data, intelligent mapping program 114 filters the values toreturn only the information desired by the client application. In apreferred implementation, to monitor the client application's use ofreceived values, intelligent mapping program 114 inserts watcher program118 into the computer hosting the client application that requested thedata.

Take, for example, the aforementioned application querying enterprisegrid 112 using the user's name as a key and receiving all associateddata including address, age, and social security number. Aftermonitoring the application's use of received data, intelligent mappingprogram 114 identifies that the application only makes use of the user'saddress. In subsequent requests from the client application utilizingthe same key (the user's name), intelligent mapping program 114 willonly return the user's address to the application and not the age,social security number, or other unused data associated with the key.

In various embodiments of the present invention, client devices 104,106, and 108 can each respectively be a laptop computer, tabletcomputer, netbook computer, personal computer (PC), a desktop computer,a personal digital assistant (PDA), a smart phone, or any programmableelectronic device capable of communicating with proxy server computer102 via network 110. Client device 104 includes two applications, app_1and app_2, which execute locally on client device 104 and may requestdata from enterprise grid 112. Client device 106 includes oneapplication, app_3, which executes locally on client device 106 and hasthe capability to request data from enterprise grid 112. Client device106 also includes watcher program 118 (sent by proxy server computer102) for monitoring the usage of data from enterprise grid 112 by app_3and reporting any discerned patterns to proxy server computer 102.Client device 108 also includes an application, app_4, running locallyon client device 108 and capable of requesting data from enterprise grid112. Those of ordinary skill in the art will understand that clientdevices 104, 106, and 108 may in some instances be members of enterprisegrid 112 acting as clients to the grid during the execution of aspecific application.

Network 110 can be, for example, a local area network (LAN), a wide areanetwork (WAN) such as the Internet, or a combination of the two, and caninclude wired, wireless, or fiber optic connections. In general, network110 can be any combination of connections and protocols that willsupport communications between proxy server computer 102 and clientdevices 104, 106, and 108.

Proxy server computer 102 may include internal and external hardwarecomponents, as depicted and described in further detail with respect toFIG. 4.

FIG. 2 is a flowchart depicting operational steps of intelligent mappingprogram 114 for filtering values requested by a client application, inaccordance with an embodiment of the present invention.

Intelligent mapping program 114 receives a request for data from aclient application (202). The request preferably is a key value or hasdata corresponding to a key value in a mapping table. Intelligentmapping program 114 determines whether the request from the clientapplication is registered (decision 204). The “registration” indicatesthat a specified client application has previously submitted a specificquery/request. In one registration aspect, according to an embodiment,intelligent mapping program 114 stores and maintains a table containingspecific client applications and keys previously submitted in requestsby each respective client application. Further, for each key submittedby each client application, program 114 stores data (hereafter“filtering data”) indicative of the values actually used by a clientapplication subsequent to submitting the key, described herein below.When determining whether the request is registered, intelligent mappingprogram 114 may check this table to see if 1) the requesting clientapplication is listed in the table and 2) the key submitted by theclient application is listed in association with the client applicationin the table. A person of ordinary skill in the art will recognize thatthere are other ways in which such associations may be tracked.

If intelligent mapping program 114 determines that the request from theclient application is not registered (no branch, decision 204),intelligent mapping program 114 registers the specific data request(206) in relation to the client application. In one implementation,registering the data request is accomplished by one or both adding theclient application to the table of known/registered applications (if notalready in the table) and adding the key from the data request to thetable in association with the client application. (Intelligent mappingprogram 114 also sends watcher program 118 to the client deviceexecuting the client application (208). Watcher program 118 analyzes theclient application's use of received data, i.e., determines which datathe client application uses of the requested data that the clientapplication receives. Watcher program 118 returns filtering data thatindicates data each client application uses for each particular request,as described in more detail herein below.)

Intelligent mapping program 114 processes the request for data (step210). To process the request, intelligent mapping program 114 identifiesthe key from the request. In one embodiment, the request for dataconsists solely of the key. In another embodiment, the request isreceived in a format such that intelligent mapping program 114 canquickly parse and locate the received key. Intelligent mapping program114 computes a hash of the key. The hash identifies a server whereinformation associated with the key is located. Upon determining whichserver has the information associated with the key, intelligent mappingprogram 114 sends the key to the server, which computes a second hashfrom the key to determine where to read the corresponding values. Uponreading those values, the server returns them to the intelligent mappingprogram 114 at proxy server computer 102. Intelligent mapping program114 sends the retrieved dataset to the client application (212). In thisinstance, intelligent mapping program 114 sends the complete dataset(all values associated with the key) to the requesting clientapplication, and the client application may utilize any of the receivedvalues.

Returning to decision 204, if intelligent mapping program 114 insteaddetermines that the request is registered (yes branch, decision 204),intelligent mapping program 114 determines whether proxy server computer102 has received filtering data, corresponding to the request, fromwatcher program 118 (decision 214). In one embodiment, after monitoringthe client application for a predetermined period, watcher program 118determines the values that the client application utilizes out of thereceived values (the values that are actually pertinent to the clientapplication), and sends the determined values to intelligent mappingprogram 114 on proxy server computer 102. The determined values may besaved as filtering data in a table of known/registered clientapplications in association with applicable client application and key.Intelligent mapping program 114 can use this data to filter datareturned in response to a subsequent request from the client applicationhaving the same key.

In an exemplary implementation, when the values are retrieved fromenterprise grid 112, they are gathered as a list of values in a specificorder. Each value returned is associated with a specific field. Thoughproxy server computer 102 may not have access to names of the field(e.g., “address field,” “SSN,” etc.) the order of a given value in thelist of values is indicative of the field it belongs to. The filteringdata stored by intelligent mapping program 114 indicates which fieldsthe client application has used (which presumably indicates which fieldsthe client application now desires in a current request) by indicatingthe placement of the desired values from the ordered list (e.g., thefirst value and the seventh value from the list of values received inresponse to given key, where the first and seventh value correspond to adesired address field and SSN field). At decision 214, intelligentmapping program 114 can determine if the request (or, more specifically,the key received) is associated with filtering data.

If the request is not associated with filtering data (no branch,decision 214), intelligent mapping program 114 can process the datarequest (210) and send the complete dataset to the client application(212) (under the assumption that watcher program 118 has not yetcompleted its analysis and returned to proxy server computer 102 thevalues determined to be utilized by the client application).

If intelligent mapping program 114 determines that filtering data isassociated with the received request (yes branch, decision 214),intelligent mapping program 114 processes the data request (216) toretrieve the full dataset. Intelligent mapping program 114 then filtersthe full dataset according to the received filtering data (218), andsends the filtered dataset to the client application (220). Followingthe example stated above, only the first and seventh values in thedataset would be sent to the client application. In this manner, onlythe information that the client application will utilize is received bythe client application. In an alternate embodiment, intelligent mappingprogram 114 may forward the filtering data to the appropriate servercomputer within enterprise grid 112 along with the request for the data,and the server computer locates the pertinent subset of values andreturns only the relevant values to proxy server computer 102. Thissimilarly allows intelligent mapping program 114 to send only the valuesthat the client application will utilize, but also offloads some of theprocessing to the individual servers, avoiding potential bottle necks atproxy server computer 102.

FIG. 3 illustrates operational steps of watcher program 118, accordingto one embodiment of the present invention. In a preferred embodiment,once sent to a client device, watcher program 118 automatically installsitself on the client device (302). The client application that requesteddata from enterprise grid 112 may, in some embodiments, initiate and/orallow the installation. Watcher program 118 may be installedspecifically to monitor the set of values sent by proxy server computer102. Where an unregistered request has been received by proxy servercomputer 102 but an instance of watcher program 118 already exists onthe client device (typically indicative of a different request/key beingregistered for the client application), the existing instance of watcherprogram 118 may instead receive from proxy server computer 102 the newset of values to be monitored in addition to, or instead of, a differentset of values monitored by watcher program 118.

Once installed, watcher program 118 monitors the client application todetermine which of the values returned by the enterprise grid inresponse to the data request are being utilized. More specifically,watcher program 118 may run a process to update the client-side code tobe able to intercept calls to getting and setting methods (step 304).For example, in Java®, the java persistence API (JPA) has the capabilityto run an enhancement program that would allow an insertion intocompiled program code. JPA also has the ability to update program codein the runtime. Alternatively, the client application may be programmedwith a surface API that can be used to tie into the framework. Theinserted code may detect a call to a get or set method for a specifieddata field or value, and notify watcher program 118. Watcher program 118receives the notification of the accessed value (step 306), and inresponse, watcher program 118 may increment a counter specific to thevalue (step 308).

Watching program 118 determines if a watching threshold has been met(decision 310). The watching threshold dictates how long the monitoringprocess should continue before sending acquired data back to proxyserver computer 102. For example, the watching threshold could be aspecified duration of time, a specified number of intercepted calls, oreven a specific count achieved for a given value.

If the watching threshold has been met (yes branch, decision 310),watching program 118 returns pertinent information to proxy servercomputer 102 (step 312). In one embodiment, watching program 118 mayreturn only values that have been accessed a specified number of times.In another embodiment, watching program 118 may return only the valuesthat have been accessed the highest percentage of times. In yet anotherembodiment, watcher program 118 may return all values which have beenaccessed without regard to the amount of times the values have beenaccesses. These returned values may be subsequently used by intelligentmapping program 114 to filter subsequent queries or to identify fieldsto filter in subsequent queries.

A person of ordinary skill in the art will recognize that after sendingthe values to proxy server computer 102, watcher program 118 cancontinue to monitor usage of values, or intermittently monitor usage ofvalues, and update proxy server computer 102 if any changes in thevalues utilized by the client application are detected.

FIG. 4 depicts a block diagram of components of proxy server computer102 in accordance with an illustrative embodiment of the presentinvention. It should be appreciated that FIG. 4 provides only anillustration of one implementation and does not imply any limitationswith regard to the environments in which different embodiments may beimplemented. Many modifications to the depicted environment may be made.

Proxy server computer 102 includes communications fabric 402, whichprovides communications between computer processor(s) 404, memory 406,persistent storage 408, communications unit 410, and input/output (I/O)interface(s) 412. Communications fabric 402 can be implemented with anyarchitecture designed for passing data and/or control informationbetween processors (such as microprocessors, communications and networkprocessors, etc.), system memory, peripheral devices, and any otherhardware components within a system. For example, communications fabric402 can be implemented with one or more buses.

Memory 406 and persistent storage 408 are computer-readable storagemedia. In this embodiment, memory 406 includes random access memory(RAM) 414 and cache memory 416. In general, memory 406 can include anysuitable volatile or non-volatile computer-readable storage media.

Intelligent mapping program 114 is stored in persistent storage 408 forexecution by one or more of the respective computer processors 404 viaone or more memories of memory 406. In this embodiment, persistentstorage 408 includes a magnetic hard disk drive. Alternatively, or inaddition to a magnetic hard disk drive, persistent storage 408 caninclude a solid state hard drive, a semiconductor storage device,read-only memory (ROM), erasable programmable read-only memory (EPROM),flash memory, or any other computer-readable storage media that iscapable of storing program instructions or digital information.

The media used by persistent storage 408 may also be removable. Forexample, a removable hard drive may be used for persistent storage 408.Other examples include optical and magnetic disks, thumb drives, andsmart cards that are inserted into a drive for transfer onto anothercomputer-readable storage medium that is also part of persistent storage408.

Communications unit 410, in these examples, provides for communicationswith other data processing systems or devices, including resources ofenterprise grid 112 and client devices 104, 106, and 108. In theseexamples, communications unit 410 includes one or more network interfacecards. Communications unit 410 may provide communications through theuse of either or both physical and wireless communications links.Intelligent mapping program 114 may be downloaded to persistent storage408 through communications unit 410.

I/O interface(s) 412 allows for input and output of data with otherdevices that may be connected to proxy server computer 102. For example,I/O interface 412 may provide a connection to external devices 418 suchas a keyboard, keypad, a touch screen, and/or some other suitable inputdevice. External devices 418 can also include portable computer-readablestorage media such as, for example, thumb drives, portable optical ormagnetic disks, and memory cards. Software and data used to practiceembodiments of the present invention, e.g., intelligent mapping program114, can be stored on such portable computer-readable storage media andcan be loaded onto persistent storage 408 via I/O interface(s) 412. I/Ointerface(s) 412 also connect to a display 420.

Display 420 provides a mechanism to display data to a user and may be,for example, a computer monitor.

The programs described herein are identified based upon the applicationfor which they are implemented in a specific embodiment of theinvention. However, it should be appreciated that any particular programnomenclature herein is used merely for convenience, and thus theinvention should not be limited to use solely in any specificapplication identified and/or implied by such nomenclature.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof code, which comprises one or more executable instructions forimplementing the specified logical function(s). It should also be notedthat, in some alternative implementations, the functions noted in theblock may occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each block of the block diagrams and/or flowchart illustration, andcombinations of blocks in the block diagrams and/or flowchartillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

What is claimed is:
 1. A computer-implemented method comprising:receiving, from a client application, a first request to access adataset within an enterprise grid, wherein: the dataset includes aplurality of values, and the dataset includes a plurality of fields thatcorrespond to the plurality of values; determining the first request isnot a subsequent request from the client application; gathering theplurality of values from the enterprise grid; transmitting, to theclient application, the plurality of values; receiving, from the clientapplication, a first set of access information, wherein: the first setof access information includes a first set of pertinence indications,the first set of pertinence indications show whether the clientapplication accessed a value in the plurality of values within awatching threshold, and the watching threshold dictates a time durationduring which the first set of access information occurs; identifying afirst subset of the plurality of values, wherein the first subset of theplurality of values includes values in the plurality of values for whichthere is a pertinence indication in the first set of pertinenceindications; identifying a set of fields in the plurality of fields,wherein the set of fields corresponds to the first subset of theplurality of values; receiving, form the client application, a secondrequest to access the dataset; transmitting, to the client application,a second subset of the plurality of values, wherein the second subset ofthe plurality of values includes values in the plurality of values thatcorrespond to the set of fields; and receiving, from the clientapplication, a second set of access information, wherein the second setof access information includes a second set of pertinence indicationsthat show whether the client application accessed a value in the secondsubset of the plurality of values.
 2. The computer-implemented method ofclaim 1, wherein identifying the first subset of the plurality of valuesincludes: receiving, from the client application, the first subset ofthe plurality of values.
 3. The computer-implemented method of claim 1,wherein: the first request includes, at least an identifying value key;and the identifying value key is mapped to the plurality of values by ahash function of the identifying value key to identify the first subsetof the plurality of values.
 4. The computer-implemented method of claim1, further comprising: placing the plurality of values in an orderedsequence; and identifying the plurality of fields based, at least inpart, on the ordered sequence of the plurality of values.
 5. Thecomputer-implemented method of claim 1, further comprising: determininga location of the dataset within the enterprise grid; requesting thedataset and the set of fields from a second computer system, wherein thesecond computer system accesses the location; and receiving, from thesecond computer system, the second subset of the plurality of values. 6.The computer-implemented method of claim 1, further comprising:determining a location of the dataset within the enterprise grid;retrieving the plurality of values from the enterprise grid; andselecting the second subset of the plurality of values from theplurality of values.
 7. The computer-implemented method of claim 6,wherein determining the location of the dataset within the enterprisegrid includes: receiving, from the client application, a set ofidentifying value keys; and performing a hash function on an identifyingvalue key in the set of identifying value keys.
 8. A computer programproduct comprising: one or more computer-readable storage media havingcomputer-readable program code embodied therewith, the computer-readableprogram code comprising: computer-readable program code configured toreceive, from a client application, a first request to access a datasetwithin an enterprise grid, wherein: the dataset includes a plurality ofvalues, and the dataset includes a plurality of fields that correspondto the plurality of values; computer-readable program code configured todetermine the first request is not a subsequent request from the clientapplication; computer-readable program code configured to gather theplurality of values from the enterprise grid; computer-readable programcode configured to transmit, to the client application, the plurality ofvalues; computer-readable program code configured to receive, from theclient application, a first set of access information, wherein: thefirst set of access information includes a first set of pertinenceindications, the first set of pertinence indications show whether theclient application accessed a value in the plurality of values within awatching threshold, and the watching threshold dictates a time durationduring which the first set of access information occurs;computer-readable program code configured to identify a first subset ofthe plurality of values, wherein the first subset of the plurality ofvalues includes values in the plurality of values for which there is apertinence indication in the first set of pertinence indications;computer-readable program code configured to identify a set of fields inthe plurality of fields, wherein the set of fields corresponds to thefirst subset of the plurality of values; computer-readable program codeconfigured to receive, form the client application, a second request toaccess the dataset; computer-readable program code configured totransmit, to the client application, a second subset of the plurality ofvalues, wherein the second subset of the plurality of values includesvalues in the plurality of values that correspond to the set of fields;and computer-readable program code configured to receive, from theclient application, a second set of access information, wherein thesecond set of access information includes a second set of pertinenceindications that show whether the client application accessed a value inthe second subset of the plurality of values.
 9. The computer programproduct of claim 8, wherein computer-readable program code configured toidentify the first subset of the plurality of values includes:computer-readable program code configured to receive, from the clientapplication, the first subset of the plurality of values.
 10. Thecomputer program product of claim 8, wherein: the first requestincludes, at least an identifying value key; and the identifying valuekey is mapped to the plurality of values by a hash function of theidentifying value key to identify the first subset of the plurality ofvalues.
 11. The computer program product of claim 8, further comprising:computer-readable program code configured to place the plurality ofvalues in an ordered sequence; and computer-readable program codeconfigured to identify the plurality of fields based, at least in part,on the ordered sequence of the plurality of values.
 12. The computerprogram product of claim 8, further comprising: computer-readableprogram code configured to determine a location of the dataset withinthe enterprise grid; computer-readable program code configured torequest the dataset and the set of fields from a second computer system,wherein the second computer system accesses the location; andcomputer-readable program code configured to receive, from the secondcomputer system, the second subset of the plurality of values.
 13. Thecomputer program product of claim 8, further comprising:computer-readable program code configured to determine a location of thedataset within the enterprise grid; computer-readable program codeconfigured to retrieve the plurality of values from the enterprise grid;and computer-readable program code configured to select the secondsubset of the plurality of values from the plurality of values.
 14. Thecomputer program product of claim 13, wherein computer-readable programcode configured to determine the location of the dataset within theenterprise grid includes: computer-readable program code configured toreceive, from the client application, a set of identifying value keys;and computer-readable program code configured to perform a hash functionon an identifying value key in the set of identifying value keys.
 15. Acomputer system comprising: one or more processors; one or morecomputer-readable storage media; and program instructions stored on theone or more computer-readable storage media for execution by at leastone of the one or more processors; the program instructions comprising:program instructions to receive, from a client application, a firstrequest to access a dataset within an enterprise grid, wherein: thedataset includes a plurality of values, and the dataset includes aplurality of fields that correspond to the plurality of values; programinstructions to determine the first request is not a subsequent requestfrom the client application; program instructions to gather theplurality of values from the enterprise grid; program instructions totransmit, to the client application, the plurality of values; programinstructions to receive, from the client application, a first set ofaccess information, wherein: the first set of access informationincludes a first set of pertinence indications, the first set ofpertinence indications show whether the client application accessed avalue in the plurality of values within a watching threshold, and thewatching threshold dictates a time duration during which the first setof access information occurs; program instructions to identify a firstsubset of the plurality of values, wherein the first subset of theplurality of values includes values in the plurality of values for whichthere is a pertinence indication in the first set of pertinenceindications; program instructions to identify a set of fields in theplurality of fields, wherein the set of fields corresponds to the firstsubset of the plurality of values; program instructions to receive, formthe client application, a second request to access the dataset; programinstructions to transmit, to the client application, a second subset ofthe plurality of values, wherein the second subset of the plurality ofvalues includes values in the plurality of values that correspond to theset of fields; and program instructions to receive, from the clientapplication, a second set of access information, wherein the second setof access information includes a second set of pertinence indicationsthat show whether the client application accessed a value in the secondsubset of the plurality of values.
 16. The computer system of claim 15,wherein program instructions to identify a first subset of the pluralityof values include: program instructions to receive, from the clientapplication, the first subset of the plurality of values.
 17. Thecomputer system of claim 15, wherein: the first request includes, atleast an identifying value key; and the identifying value key is mappedto the plurality of values by a hash function of the identifying valuekey to identify the first subset of the plurality of values.
 18. Thecomputer system of claim 15, further comprising: program instructions toplace the plurality of values in an ordered sequence; and programinstructions to identify the plurality of fields based, at least inpart, on the ordered sequence of the plurality of values.
 19. Thecomputer system of claim 15, further comprising: program instructions todetermine a location of the dataset within the enterprise grid; programinstructions to request the dataset and the set of fields from a secondcomputer system, wherein the second computer system accesses thelocation; and program instructions to receive, from the second computersystem, the second subset of the plurality of values.
 20. The computersystem of claim 15, further comprising: program instructions todetermine a location of the dataset within the enterprise grid; programinstructions to retrieve the plurality of values from the enterprisegrid; and program instructions to select the second subset of theplurality of values from the plurality of values.